BLUEMED · BLUEMED PRELIMINARY IMPLEMENTATION PLAN Horizon 2020 - BG-13-2016 Grant Agreement 727453 ANNEX 2 GUIDELINES FOR IMPACT EVALUATION June 2020 Authors: Fabio Trincardi (CNR,

BLUEMEDPRELIMINARY IMPLEMENTATION PLAN

Horizon 2020 - BG-13-2016Grant Agreement 727453

ANNEX 2GUIDELINES FOR IMPACT EVALUATION

June 2020

BLUEMEDPRELIMINARY IMPLEMENTATION

PLAN

Horizon 2020 - BG-13-2016Grant Agreement 727453

ANNEX 2GUIDELINES FOR IMPACT EVALUATION

June 2020

Authors:

Fabio Trincardi (CNR, Italy)

Margherita Cappelletto (CNR, Italy)

Andrea Barbanti (CNR, Italy)

Jean-François Cadiou (IFREMER, France)

Amélie Bataille (CNRS, France)

Mónica Campillos Llanos (IEO, Spain)

Esther Chacón Campollo (AEI, Spain)

Abraham Trujillo Quintela (AEI, Spain)

ANNEX 2: GUIDELINES FOR IMPACT EVALUATION

3

ANNEX 2 – GUIDELINES FOR IMPACT EVALUATION

The following part of the document aims at providing some guidelines and details to facilitate the use of indicators dedicated to BlueMed impact evaluation, providing examples and recommendations on their objectives and the way to use them. Those indicators have been drafted according to already existing information, data and literature in order to facilitate evaluation activities. Major databases such as World Bank, OECD, Eurostat, MED POL and reports from UNEP/MAP, Plan Bleu have been very useful to produce

the following annex.

Surface of coastal and marine protected areas in km²

P1_IND01

Definition: Measuring the sum of all surfaces of coastal and marine protected zones for a given year.

Unit: Km²

Measurement frequency: annual measure

Geographical coverage: national scale, coastal and marine areas scale measurement

Expected outcomes: improving managing solution and conservation plan to protect coastal and deep-

sea ecosystems and reduce the loss of biodiversity. The surface of coastal and marine protected areas is

therefore expected to increase in the following years.

Limits/precaution for use: legislations on preservation of natural and cultural spaces can be different

according to countries. The International Union for Conservation of Nature can help to provide some

common standards1.

References/data sources: International Union for Conservation of Nature

TREND:

MEDTRENDS (WWF) – MARINE PROTECTED AREAS IN THE MEDITERRANEAN

1 IUCN

https://www.iucn.org/

https://www.iucn.org/theme/protected-areas/about/protected-area-categories


4

Surface of marine mammal protected areas in km²

P1_IND02

Definition: Certain portions of sea habitats are considered as being very important to marine

mammal species and their ecosystem health needs to be taken into consideration by governments,

intergovernmental organisations, conservation groups and public2. These areas are marine mammals

protected areas and this indicators offers to measure their surface in the Mediterranean basin. Example:

the Pelagos Sanctuary.

Unit: km²


Geographical coverage: national scale, coastal and marine areas scale measurement

Expected outcomes: increase the surface of these areas (creation of new sanctuaries, corridors for

migration…) to strengthen best practices for marine mammals’ conservation. Further studying the

consequences of noises emitted by human activities at sea on ecosystems could encourage the

development of new protected zones for marine mammals.

References/data sources: Marine Mammals Protected Areas Task Force

TREND:

MMPATF – IMPORTANT MARINE MAMMALS AREAS (ORANGE), CANDIDATE IMMA (RED), AREAS OF

INTEREST (BLUE)

2 Definition from Marine Mammals Protected Areas Task Force

https://www.marinemammalhabitat.org/about/


5

Number of patents in the field of climate change mitigation technology developments related to plastics

recycling

P1_IND03

Definition: assessment of countries’ and firms’ innovative performance as well as the design of

governments’ environmental and innovation policies3 related to climate change mitigation technology

and solutions to tackle plastic pollution.

Unit: Number (family size: one and greater)


Geographical coverage: national scale measurement

Expected outcomes: One of BlueMed’s objective and the role of the Pilot Action on a Healthy, Plastic-free

Mediterranean Sea is to address the issue of plastic marine litters in the Mediterranean Sea. Innovation

in waste management is required and the number of patents in the domain is expected to increase in the

following years.

Limits/precautions for use: Not all inventions or innovations are patented. Measuring the number of

patents by itself does not provide information on their relative importance and impact.

References/data sources: OECD

TREND:

OECD - Total number of patents in the field of climate change mitigation technology development re-lated to plastic recycling, the example of Italy (family size: one and greater)

3 OECD

https://stats.oecd.org/Index.aspx?DataSetCode=PAT_DEV


6

Number of visitors on BlueMed Website page dedicated to the Pilot Action on a Healthy Plastic-free

Mediterranean Sea

P1_IND04

Definition: number of clicks on the page dedicated to the Pilot Action on BlueMed Website

Unit: number

Measurement frequency: monthly measure

Expected outcomes: this number is expected to increase as the scaling up of the Pilot Action will increase

its visibility.

Reference/sources: BlueMed website

Concentration of key harmful contaminants measured in the relevant matrix (biota, sediment, seawater)

P1_INDXX

Definition: measuring the amount of heavy metals (cadmium, mercury and lead, major MED POL con-

taminant group, lot of data). Different matrices can be considered: bivalves; fish and sediments.

Unit: µg/kg dw


Geographical coverage: coastal areas

Expected outcomes: those numbers are expected to decrease in the following years

Reference/sources: UNEP/MAP ECAP / MED POL Database

Trends in the amount of litter washed ashore and/or deposited on coastlines

P1_INDXX

Definition: this Good Environmental Status indicator should be adjusted in the framework of BlueMed to

focus on the amount of plastic litters found on Mediterranean beaches.

Unit: tonnes? Number of items per 100m?

Measurement frequency: annual


Expected outcomes: this number is expected to decrease in the following years

Limits/precautions for use: limited clear data and information in the Mediterranean, multitude of NGOs,

associations and initiatives leading their own cleaning and monitoring operations. There is a need to co-

ordinate the data collected at local scales to have a global picture.

Reference/sources: UNEP/MAP ECAP/ UN Environment/MAP 2015 Marine Litter Assesment

https://www.medqsr.org/sites/default/files/inline-files/2017MedQSR_Online_0.pdf



7

Actual levels of contaminants that have been detected and number of contaminants which have

exceeded maximum regulatory levels in commonly consumed seafood

P1_INDXX

Definition: measuring the number of detected contaminants to which human beings are exposed through

commercial fish and shellfish species and measure their deviation from legal permissions set by national,

European or international (WHO standards) regulations.

Unit: ?

Measurement frequency: annual measurement

Geographical coverage: national or sub regional scale


Limits/precautions for use: lack of data. Different contaminants legal permissions exist according to the

countries. There may be a need for protocols and assessment methodologies harmonization before

using this indicator.

Reference/sources: UNEP/MAP ECAP / national databases and surveys, national food laboratories,

inspection and regulatory bodies.

Trend:

Summary of current regulatory levels set by the EU (extracted from Maggi et al., 2014; PLOS ONE

Journal)



8

Fisheries technology development

P2_INDXX

Definition: total number of inventions related to fisheries developed in a given country. It assesses the

innovative performances of the firms implied and the innovation policies implemented by governments.

Data linked to this indicator can be subdivided in several categories:

- All domains of fishery (total number of patents);

- Aquaculture technology (new methods to grow fish in captivity) ;

- Harvesting technology (new ways to find or harvest fish, improvements in catch);

- New products and markets (food technology/processing, improvement of market access,

incentives for green growth).

Unit: Number (family size: one and greater)



Expected outcomes: BlueMed initiative aims at developing optimal fishing strategies, technologies and

practices. Therefore, fisheries technology development is expected to increase in the following years.

Limits/precautions for use: Not all inventions or innovations are patented. Measuring the number of



Economic value of fisheries, as a percentage of GDP

P2_INDXX

Definition: measuring economic benefits of fisheries in Mediterranean countries.

Unit: percentage of GDP



Expected outcomes: Improve fish trades and encourage public authorities to develop additional legislation

for food control at Mediterranean level in order to preserve marine ecosystems and fish stocks. At the

same time, it is important to protect jobs and professionals who depend on fisheries activity.

Limits/precautions for use: This indicator measures benefits made by all fisheries, not only those using

sustainable fishing techniques.

References/data sources: The state of world fisheries and aquaculture – FAO report 2018

http://www.fao.org/3/i9540en/I9540EN.pdf


9

Fishery fleet, total number of vessels

P2_INDXX

Definition: The term “fishery fleet” refers to mobile floating objects of any kind and size, operating in

freshwater, brackish water and marine waters which are used for catching, harvesting, searching,

transporting, landing, preserving and/or processing fish, shellfish and other aquatic organisms, residues

and plants. The term “fishing vessel” is used instead when the vessel is engaged only in catching operations.

The term “non-fishing vessel” applies to vessels performing other functions related to fisheries, such as

supplying, protecting, rendering assistance or conducting research or training4.

Unit: number



Expected outcomes: assess a detailed number of vessels to have a clear picture of the situation and a

better control of fishing activities.

References/data sources: OECD/The state of world fisheries and aquaculture – FAO report 2018

Trend:

OECD – Fishing fleet, total number of vessels, the example of 6 Mediterranean countries, 2016

4 FAO


http://www.fao.org/cwp-on-fishery-statistics/handbook/capture-fisheries-statistics/fishery-fleet/en/


10

Fisheries capture of marine fishes in tonnes

P2_INDXX

Definition: measuring the volumes of fish catches landed by a country for all commercial, industrial,

recreational and subsistence purposes5.

Unit: tonnes



Expected outcomes: improve fish trades and encourage public authorities to develop additional legislation

for food control at Mediterranean level in order to preserve marine ecosystems and fish stocks. At the

same time, it is important to protect jobs and professionals who depend on fisheries activity.

Limits/precautions for use: illegal fishing practices are still recurrent but not taken into account by this

indicator.

References/data sources: FAO Statistics

The state of world fisheries and aquaculture – FAO report 2018

Economic value of aquaculture, as a percentage of GDP

P2_IND

Definition: measuring the economic benefits of aquaculture in Mediterranean countries.

Unit: percentage of GDP



Expected outcomes: BlueMed aims at studying and evaluating the best processes to adapt and diversify

aquaculture activities (species and systems) and capacities in a changing environment. Developing

aquaculture activities is a way to ease the pressure on fish stocks and marine ecosystems, and at the

same time it is a source of social and economic benefits thanks to the creation of new skilled jobs.

BLUEMED also aims at developing multipurpose maritime facilities, such as offshore platforms, which

could be dedicated to both observation, scientific research and aquaculture activities. Therefore, the

benefits made by a more sustainable aquaculture are expected to increase in the following years.

Limits/precautions for use: measures the economic values of all aquaculture activities, not only those

using sustainable techniques.

References/data sources:

The state of world fisheries and aquaculture – FAO report 2018

5 World Bank Open Data

http://www.fao.org/figis/servlet/TabLandArea?tb_ds=Capture&tb_mode=TABLE&tb_act=SELECT&tb_grp=COUNTRY




https://data.worldbank.org/indicator/ER.FSH.CAPT.MT?view=chart


11

Aquaculture production in tonnes

P2_IND

Definition: measuring the total output from aquaculture activities, which are designated for final harvest

for consumption. Aquaculture is understood as the farming of aquatic organisms including fish, molluscs,

crustaceans and aquatic plants6.

Unit: tonnes



Expected outcomes: this number is expected to increase in the following years.

Limits/precautions for use: assesses the production of all aquaculture activities, not only those using

sustainable techniques.


The state of world fisheries and aquaculture – FAO report 2018 / OECD

Trend:

OECD – Total aquaculture production, the example of different Mediterranean countries – in tonnes

6 World Bank Open Data



https://data.worldbank.org/indicator/ER.FSH.AQUA.MT?view=chart


12

Proportion of fish stock within safe biological limits

P2_IND

Definition: measuring the proportion of fish stocks or species that are exploited within the level of

maximum sustainable biological productivity (= the maximum catch that ensure maximum productivity

while maintaining biodiversity and preserving functioning ecosystems)7. This indicator directly indicates

the level of progress needed to tend towards sustainable management of fish stocks and it can have an

impact on policy and decision-making.

Unit: percentage


Geographical coverage: regional scale measurement

Expected outcomes: improve fish trades and encourage public authorities to develop additional

legislations for food control at Mediterranean level. It is expected to avoid overfishing and mitigate

impacts of fisheries on stocks, species and ecosystems. Prevent the decrease of the proportion of fish

stock within safe biological limits, therefore, this number is expected to diminish.


The state of world fisheries and aquaculture – FAO report 2018 / OECD / Eurostat

Number of fish threatened species

P2_IND

Definition: anthropogenic pressures have a direct impact on marine ecosystems. Direct threats to fish

species are the proximate human activities (such as unsustainable fishing). The International Union for

Conservation of Nature established a red list of threatened species that are those classified as being

endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known8.

Unit: number



Expected outcomes: encourage Mediterranean countries to update their databases on fish threatened

species to establish a clear picture of the situation to find sustainable solutions and make this number

decrease. The situation is expected to improve thanks to a better surveillance and control of illegal

fisheries that endanger marine ecosystems.

Limits/precautions for use: data collection highly variable depending on countries

References/data sources: the International Union for Conservation of Nature (IUCN) Red List of Threatened

Species / World Bank Open Data

7 http://mdgs.un.org/unsd/mi/wiki/7-4-Proportion-of-fish-stocks-within-safe-biological-limits.ashx 8 Froese R. and Pauly D., 2008.



http://mdgs.un.org/unsd/mi/wiki/7-4-Proportion-of-fish-stocks-within-safe-biological-limits.ashx


13

Number of fishers and fish farmers

P2_IND

Definition: This indicator measures the socio-economic impact of fisheries and aquaculture sector in

Mediterranean countries. According to FAO, fishers and fish farmers are:

1. All commercial, industrial and subsistence fishers, operating in freshwater, brackish water, and

marine waters in economically inspired efforts to catch and land any of the great variety of aquatic

animals and plants, should be included. People working on fish farms, hatcheries, and employed

in shellfish culture operations, should also be included. The term “fisher” should include not only

those operating from fishing vessels of all types, but also those operating land-based fishing

gears and installations from the banks of rivers, lakes, canals, dams etc., and from beaches and

shores which do not require the use of auxiliary boats. Where possible a breakdown by the type

of activity should be included.

2. The crews on fish factory ships, mother ships to fishing fleets, and on auxiliary craft such as, fish

carriers, and fish transport craft should be included.

3. The data collected nationally should include nationals, and others employed on nationally

registered vessels landing their catches in foreign ports.

4. The crews of state-operated fishery patrol vessels, fishery protection vessels, hospital ships, etc.

should be excluded from the fishers statistics9.

Unit: number (expressed in thousands)



Expected outcomes: increase the number of skilled jobs related to sustainable fisheries and fish farms

in the following years.

Limits/precautions for use: measures all the jobs related to fishery and aquaculture, not only those using

sustainable techniques. It would be interesting to subdivide this indicator to have separate data for

fishing and aquaculture activities.

References/data sources: The state of world fisheries and aquaculture – FAO report 2018

9 FAO


http://www.fao.org/cwp-on-fishery-statistics/handbook/socio-economic-data/fishers/en/


14

Total number of patents in the field of climate change mitigation technology development

P3_IND

Definition: assessing countries’ and firms’ innovative performance as well as the design of governments’

environmental and innovation policies10 related to climate change mitigation technology. Patents are

classified according to “family sizes”, a term that designates the number of countries where the patent

application has been filed. Family size “one and greater” means that the invention is protected in at least

one country. This category includes all patents. Family size “two and greater’ will count inventions that

have sought protection in at least two countries, and so on11…

Unit: number (family size: one and greater)


Geographical coverage: national scale measurement.

Expected outcomes: increase this number

Limits/precautions for use: not all inventions or innovations are patented. Measuring the number of



Trend:

OECD – Total number of patents in the field of climate change mitigation technology development, the

example of Slovenia (family size: one and greater)

10 OECD11 OECD

https://stats.oecd.org/Index.aspx?DataSetCode=PAT_DEV


15

Trends in abundance, temporal occurrence, and spatial distribution of non-indigenous species, particu-

larly invasive, non-indigenous species, notably in risk areas

P3_INDXX

Definition: measuring the number and evolution of non-indigenous and invasive species

Unit: number


Geographical coverage: sub regional area scale

Expected outcomes: clearly assess the situation, understand the potential relations with climate changes

and anthropogenic pressures

Number of non-EU scientists who have access to European marine RIs

P4_INDXX

Definition: number of non-EU scientists who use European marine research facilities, laboratories, ves-

sels or in situ platforms.

Unit: number


Geographical coverage: measurement for each European marine RI

Expected outcomes: reinforce TNA access for non-EU scientists; facilitate their trips to EU facilities. This

number is expected to increase.


16

Employment in tourism

P5_INDXX

Definition: measuring the socio-economic impacts of tourism. Tourism can be regarded as a social,

cultural and economic phenomenon related to the movement of people outside their usual place of

residence. An establishment in the tourism sector is an enterprise or part of an enterprise that is situated

in a single location and in which only a single productive activity is carried out or in which the principal

productive activity accounts for most of the value added. Data on employment in tourism refer to people

or jobs12.

Unit: number


Geographical coverage: national, regional, coastal areas scale measurement.

Expected outcomes: the Mediterranean’s unique features provide major local opportunities for blue

growth and jobs, particularly regarding tourism industry. Bluemed aims at developing these opportunities

and strengthening a sustainable and eco-friendly tourism. Therefore, employment value in tourism is

expected to rise in the following years.

Limits/precautions for use: does not focus only on coastal tourism but on the overall tourism industry.

Moreover, it encompasses all sort of jobs, not only those tending towards the development of a

sustainable and eco-friendly tourism.


Trend:

OECD – Total tourism employment, the example of France

12 OECD

https://stats.oecd.org/BrandedView.aspx?oecd_bv_id=2b45a380-en&doi=065e083a-en

https://www.oecd-ilibrary.org/fr/industry-and-services/data/oecd-tourism-statistics/enterprises-and-employment-in-tourism_065e083a-en


17

Proportion of bathing sites awarded the Blue Flag out of total coastal bathing sites

P5_IND

Definition: The eco-label Blue Flag qualifies sites, which meet and maintain a series of stringent

environmental, educational, safety-related and access-related criteria. Improving coastal quality waters

and reducing pollutions in the Mediterranean Sea could enable the augmentation of sites awarded the

Blue Flag and promote a sustainable tourism that respects some key environmental standards.

Unit: percentage


Geographical coverage: national, regional, coastal areas scale measurement.

Expected outcomes: increase this proportion in the following years, especially in countries of the southern

shore of the Mediterranean, where the label is not very much used.

References/data sources: Blue Flag

Trend:

Blue Flag – Beaches awarded the Blue Flag label

http://www.blueflag.global/


18

Length of coastline subject to physical disturbance due to the influence of man-made structures

P6_IND

Definition: Mediterranean coastal areas are threatened by development that modifies the coastline

through the construction of buildings and infrastructures that are needed to sustain residential, tourism,

commercial, transport and other activities. Aims at measuring the length of artificial coastline and its

share in total country’s coastline.

Unit: km and percentage out of total coastline


Geographical coverage: national and coastal scale measurement

Expected outcomes: assess the exact length of coastline subject to physical disturbance due to manmade

structures in order to preserve the natural habitats and ecosystems.

References/sources: UNEP/MAP ECAP

Trend:

Length of built-up coastline in Italy in 2006 (EcAp-ICZM Italian Ministry of Environment/ISPRA)



19

Number of patents in the field of climate change mitigation technology related to maritime transportation

P7_IND

Definition: assesses countries’ and firms’ innovative performance as well as the design of governments’

environmental and innovation policies13 related to climate change mitigation and maritime/waterways

transportation.

Unit: number (family size: one and greater).

Measurement frequency:

Geographical coverage:


Limits/precautions for use: not all inventions or innovations are patented. Measuring the number of



Trend:

Number of patents in the field of climate change mitigation technologies related to maritime

transportation, the example of Spain.

13 OECD


20

Vessels operation pollution, in million tonnes

P7_IND

Definition: measures the operational pollution resulting of the discharge of wastes that have been

produced on the boat. Operational pollution and commercial use of vessels (everything related to freight

and passengers transport) = wastes dumping such as waste waters, garbage, dirty bilge waters, tank

cleaning waters, and exhaust gas… Operational pollution from recreational boats = wastewaters and

domestic wastes. Operational pollution from tankers = illegal oil discharges and ballast water14.

Unit: million tonnes (Mt)


Geographical coverage: National scale measurement

Expected outcomes: decrease this number in the following years

References/data sources: REMPEC

Annual mean of fuel consumption by ships over 5000GT

P7_IND

Definition: the International Maritime Organization (IMO) adopted a mandatory fuel consumption data

collection. It requires ships above 5,000 gross tonnage to start collecting and reporting fuel consump-

tion from the start of 2019. The aggregated data is reported to the flag State after the end of each calen-

dar year and the flag State, having determined that the data has been reported in accordance with the

requirements, issues a Statement of Compliance to the ship. Flag States are required to subsequently

transfer this data to an IMO Ship Fuel Oil Consumption Database. IMO will be required to produce an

annual report to MEPC, summarizing the data collected15. This regulation aims at determining precisely

how much CO2 international shipping is responsible for before proposing policy decisions.

Unit: tonnes




Limits/precautions for use: the utilization of this data collection system for fuel oil consumption is brand

new so quality and completeness of data is still uncertain. Moreover, only ships above 5000 gross ton-

nages are required to provide data.

References/data sources: IMO’s data collection system for fuel oil consumption of ships (when available)

14 Plan Bleu 15 IMO

http://planbleu.org/sites/default/files/upload/files/fiches_indicateurs_smdd.pdf

http://www.imo.org/en/ourwork/environment/pollutionprevention/airpollution/pages/data-collection-system.aspx


21

Annual mean concentration of fine particulate matter of less than 2.5 microns of diameter (PM2.5) in

coastal urban areas

P7_IND

Definition: the annual mean concentration of fine suspended particles of less than 2.5 microns in

diameters is a common measure of air pollution. The mean is a population-weighted average for urban

population in a country16.

Unit: Ug/m3 (at city levels)


Geographical coverage: coastal cities of more than 10.000 inhabitants


Limits/precautions for use: quality of data differs according to countries (not the same amount of

monitoring everywhere). There is a need to affine the WHO database before working on it (it presents all

cities and not only coastal cities)

References/data sources: WHO

Number of firms active in blue biotechnology

P8_IND

Definition: measuring number of biotechnology firms, which are firms devoting at least 75% of their

production of goods and services, or R&D, to biotechnology

Unit: number




Limits/precautions for use: lack of data online on specific blue firms


R&D public investments for renewable energy

P9_IND

Definition: measuring investments made by governments to support the development of renewable

energy.

Unit: euros



Expected outcomes: Invite governments to increase this value in the following years.

Limits/precautions for use: lack of data online. Does not focus only on marine renewable energy.

References/data sources: OECD/IEA

Number of national renewable energy incentives

16 WHO

http://apps.who.int/gho/data/view.main.SDGPM25116v

http://www.oecd.org/innovation/inno/keybiotechnologyindicators.htm

http://apps.who.int/gho/data/node.wrapper.imr?x-id=4674


22

P9_IND

Definition: measuring incentives that are financial instruments, monetary benefits, implemented by gov-

ernments to address barriers and support the development of renewable energy and energy efficiency

technologies.

Unit: number



Expected outcomes: BlueMed aims at promoting the role of Marine Renewable Energies in the energy

transition phase and wishes to develop the number of MRE farms and projects in the Mediterranean. This

number is expected to rise.

Limits/precautions for use: does not focus only on marine renewable energy.

References/data sources: OECD/IEA

Number of scientific publications in the field of marine sciences in open access

P10_IND

Definition: measuring the total number of scientific papers related to marine sciences disciplines

published every year in a given country.

Unit: number



Expected outcomes: increase in the following years

Limits/precautions for use: assesses the number of total publications related to marine sciences and not

only those specific to Mediterranean Sea.

Share of fossil fuels in total primary energy supply

P9_IND

Definition: measuring the part of fossil fuels within the energy market. Fossil fuels include coal, oil shale,

peat and peat products, oil and natural gas.

Unit: percentage



Expected outcomes: decrease this number in the following years

References/data sources: IEA/ OECD /BP Statistical Review of World Energy (June 2018)

http://wds.iea.org/wds/pdf/WORLDBAL_Documentation.pdf

https://stats.oecd.org/viewhtml.aspx?datasetcode=WIND&lang=en

https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2018-full-report.pdf


23

Total renewable capacity energy, in MW

P9_IND

Definition: renewable power generation capacity is measured as the maximum net generating capacity

of power plants and other installations that use renewable energy sources to produce electricity. For

most countries and technologies, data reflect the capacity installed and connected at the end of the

calendar year17.

Unit: Megawatt (MW)



Expected outcomes: increase this number in the following years

Limits/precautions for use: takes into consideration all sources of renewable energies, not only MRE. For

countries having several maritime coastlines, the indicator does not only focus on the Mediterranean.

References/data sources: BP Statistical Review of World Energy (June 2018) / IRENA / OECD

Trend:

IRENA – Total renewable energy capacity in 2017

17 IRENA

https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2018-full-report.pdf

https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2018/Mar/IRENA_RE_Capacity_Statistics_2018.pdf

https://www.oecd-ilibrary.org/fr/energy/data/iea-renewables-information-statistics_renewab-data-en

https://www.irena.org/publications/2018/Mar/Renewable-Capacity-Statistics-2018


24

Share of population with tertiary education

P11_IND

Definition: measuring the amount of people who completed the highest level of education, by age group.

This includes both theoretical programmes leading to advanced research or high skill professions such

as medicine and more vocational programmes leading to the labour market18.

Unit: number



Expected outcomes: this number is expected to rise in the following years.

Limits/precautions for use: not directly linked to BlueMed actions. It rather aims at providing a general

context. The measurement of population with tertiary education does not only focus on domains related

to blue economy or marine sciences.


Trend:

OECD – Population with tertiary education 25-34 years old in same age group, highlight on Italy, Turkey,

Greece, Spain, France, Slovenia and Israel, 2017 or latest data available

18 OECD

https://data.oecd.org/eduatt/population-with-tertiary-education.htm

https://data.oecd.org/eduatt/population-with-tertiary-education.htm


25

Share of population holding a PhD in marine sciences

P11_IND

Definition: This indicator assesses the part of population holding a PhD in a discipline related to marine

sciences in a given country.

Unit: number



Expected outcomes: this percentage is expected to rise in the following years.

References/data sources: national registers

Number of universities delivering trainings in marine sciences

P11_IND

Definition: information on the number of universities involved in delivering marine sciences trainings.

Unit: number





Total number of Master degrees in marine sciences

P11_IND

Definition: information on the number of marine sciences advanced degrees delivered by universities of

a given country.

Unit: number






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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727453

Documents

BLUEMED · BLUEMED PRELIMINARY IMPLEMENTATION PLAN Horizon 2020 - BG-13-2016 Grant Agreement 727453 ANNEX 2 GUIDELINES FOR IMPACT EVALUATION June 2020 Authors: Fabio Trincardi (CNR,